CN111899306A - Camera module calibration method and device and computer storage medium - Google Patents

Camera module calibration method and device and computer storage medium Download PDF

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Publication number
CN111899306A
CN111899306A CN202010715694.2A CN202010715694A CN111899306A CN 111899306 A CN111899306 A CN 111899306A CN 202010715694 A CN202010715694 A CN 202010715694A CN 111899306 A CN111899306 A CN 111899306A
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relative distance
camera module
image center
distances
relative
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张晴
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OFilm Image Technology Guangzhou Co Ltd
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OFilm Image Technology Guangzhou Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

A calibration method, a calibration device and a computer storage medium of a camera module are provided, wherein the calibration method comprises the following steps: providing a plurality of lenses and a plurality of photosensitive chips, setting the distances between each lens and the corresponding photosensitive chip to be not all the same, and acquiring a first relative distance between each photosensitive chip and the corresponding lens; correspondingly assembling the plurality of lenses and the plurality of photosensitive chips respectively to form a plurality of camera modules; acquiring the image center clear value of a shot object shot by each camera module; fitting the plurality of first relative distances and the plurality of image center sharpness values to form a continuous graph; and obtaining a corresponding second relative distance when the central clear value of the image is the maximum value according to the continuous graph, so as to realize the calibration of the camera module. And fitting the plurality of first relative distances and the corresponding plurality of image center clear values to form a continuous graph, so that the more accurate second relative distance can be obtained according to the continuous graph.

Description

Camera module calibration method and device and computer storage medium
Technical Field
The invention belongs to the technical field of optical imaging, and particularly relates to a calibration method and a calibration device of a camera module and a computer storage medium.
Background
With the continuous development of scientific technology, more and more electronic devices with image acquisition functions are widely applied to daily life and work of people, bring great convenience to the daily life and work of people, and become an indispensable important tool for people at present.
In the existing electronic equipment, the main component for realizing the image acquisition function is a camera module. In the process of collecting images by the camera module, the lens can collect reflected light of a shot object and focus the reflected light on the photosensitive chip so as to enable the photosensitive chip to form images according to the reflected light. In this process, it is necessary to ensure that the lens and the photosensitive chip have a proper relative distance to enable the reflected light of the object to be photographed to be focused on the photosensitive chip. Generally, a plurality of groups of camera modules with different relative distances are manufactured, an image resolution ratio (SFR) is performed on the camera modules under a preset object distance to obtain the central clear values of images of a shot object, the central clear values of the images of the camera modules are compared, and the relative distance between the lens of the camera module and the photosensitive chip corresponding to the highest central clear value of the images is selected.
However, because the sample is limited, the obtained optimal relative distance is different from the actual relative distance, and the imaging quality of the camera module is not ideal enough. Therefore, how to calibrate the relative distance between the lens and the photosensitive chip more accurately becomes a key.
Disclosure of Invention
The invention aims to provide a calibration method and a calibration device for a camera module and a computer storage medium, which can obtain the optimal relative distance (second relative distance) between a lens and a photosensitive chip, so that the camera module has better imaging quality.
In order to realize the purpose of the invention, the invention provides the following technical scheme:
in a first aspect, the present invention provides a calibration method for a camera module, where the calibration method includes: providing a plurality of lenses and a plurality of photosensitive chips, setting the distances between each lens and each corresponding photosensitive chip to be not all the same, and acquiring a first relative distance between each photosensitive chip and the corresponding lens; correspondingly assembling the plurality of lenses and the plurality of photosensitive chips respectively to form a plurality of camera modules; acquiring the image center clear value of a shot object shot by each camera module; fitting a plurality of said first relative distances and a plurality of said image center sharpness values to form a continuous graph; and obtaining a corresponding second relative distance when the central clear value of the image is the maximum value according to the continuous graph, so as to realize the calibration of the camera module.
A plurality of first relative distances and a plurality of corresponding image center clear values are fitted to form a continuous graph line, the continuous graph line has an infinite number of corresponding first relative distances and image center clear values, a corresponding second relative distance is obtained when the image center clear value is maximum, and when the relative distance between a lens and a photosensitive chip is the second relative distance, reflected light of a shot object can be focused on the photosensitive chip, so that better imaging quality is achieved.
In one embodiment, the first relative distance corresponds to at least one of the image center sharpness values. By increasing the number of the image center clear values corresponding to the first relative distance, the deviation of fitting the continuous graph can be reduced, and the accurate second relative distance can be obtained.
In one embodiment, fitting a plurality of said first relative distances and a plurality of said image center sharpness values to form a continuous graph comprises: establishing a rectangular coordinate system by taking the first relative distance as a horizontal axis and the image center definition value as a vertical axis; integrating at least one image center clear value corresponding to the same first relative distance according to a preset rule to obtain a superposed image center clear value; and fitting to form a parabola according to the first relative distances and the central definition values of the superposed images. In a rectangular coordinate system, a transverse axis is set as a first relative distance, and a longitudinal axis is set as an image center clear value, so that the method is favorable for fitting a visual continuous graph and is convenient for acquiring a second relative distance; meanwhile, at least one image center clear value corresponding to the same first relative distance is integrated into a superposed image center clear value, so that the influence caused by errors of an SFR test is reduced, and a continuous graph can be conveniently fitted.
In one embodiment, obtaining the second relative distance corresponding to the maximum central sharpness value of the image from the continuous graph includes: and acquiring a function expression of the parabola, and acquiring the second relative distance according to the function expression. The second relative distance is obtained by obtaining the function expression of the parabola, which is beneficial to being realized by a software programming mode.
In one embodiment, a functional expression of the parabola is obtained and based on the functional expressionObtaining the second relative distance, including: the function expression is y-ax2+ bx + c, said second relative distance being-b/2 a; wherein y is the image center clear value, x is the first relative distance, and a, b, and c are parameters. Through the arrangement, the efficiency of calculating the second relative distance is higher, and the calibration process is favorably shortened.
In one embodiment, assembling a plurality of the lenses and a plurality of the photosensitive chips to form a plurality of image capturing modules includes: gluing the lens and the photosensitive chip to obtain the camera module; and baking the camera module so as to solidify the glue of the camera module. It can be understood that, due to the existence of the characteristic of the rubber shrinkage in the process of manufacturing the camera module, the set first relative distance is different from the relative distance between the lens and the photosensitive chip after the camera module is actually assembled. To ensure that the optimum relative distance is obtained, an SFR test is required after the glue has cured. Through behind veneer camera lens and sensitization chip, toast the module of making a video recording for glue solidification is favorable to obtaining accurate image center clear value in the SFR test.
In one embodiment, the difference between two adjacent first relative distances on the horizontal axis of the rectangular coordinate system is in a range of 1 μm to 3 μm. The difference range of the two adjacent first relative distances on the transverse axis of the rectangular coordinate system is set to be between 1 mu m and 3 mu m, so that the reliability of fitting a continuous graph is guaranteed, the number of samples is reduced, and the sampling duration is shortened.
In a second aspect, the present invention further provides a calibration apparatus for a camera module, the calibration apparatus includes: the first acquisition unit is used for setting the distances between a plurality of lenses and a plurality of corresponding photosensitive chips to be not all the same and acquiring a first relative distance between each photosensitive chip and the corresponding lens; the assembly unit is used for correspondingly assembling the plurality of lenses and the plurality of photosensitive chips respectively to form a plurality of camera modules; the second acquisition unit is used for acquiring the image center clear value of the shot object shot by each camera module; the processing unit is used for fitting the first relative distances and the image center clear values to form a continuous graph line; and the analysis unit is used for obtaining a corresponding second relative distance when the central clear value of the image is the maximum value according to the continuous graph, so as to realize the calibration of the camera module.
In a third aspect, the present invention further provides a calibration apparatus for a camera module, where the calibration apparatus includes: a processor and a memory; the processor is connected to the memory, wherein the memory is used for storing a computer program, and the processor is used for calling the computer program to execute the method described in any one of the embodiments of the first aspect.
In a fourth aspect, the present invention also provides a computer storage medium storing a computer program comprising program instructions that, when executed by a processor, perform the method according to any of the embodiments of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a calibration method for a camera module according to the present invention;
FIG. 2 is a flowchart of step S104 of FIG. 1;
fig. 3 is a flowchart of step S102 of fig. 1.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The embodiment of the invention provides a calibration method of a camera module, wherein the camera module can be a wide-angle camera module, a standard camera module, a long-focus camera module, a macro camera module, a shift camera module and the like, and can be applied to a vehicle-mounted lens, an infrared monitoring lens, an outdoor shooting lens and the like. Referring to fig. 1, the calibration method includes:
s101: providing a plurality of lenses and a plurality of photosensitive chips, setting the distances between each lens and the corresponding photosensitive chip to be not all the same, and acquiring a first relative distance between each photosensitive chip and the corresponding lens.
S102: and assembling the plurality of lenses and the plurality of photosensitive chips respectively to form a plurality of camera modules.
S103: and acquiring the central clear value of the image of the shot object shot by each camera module.
S103: and fitting the plurality of first relative distances and the plurality of image center sharpness values to form a continuous graph.
S104: and obtaining a corresponding second relative distance when the central clear value of the image is the maximum value according to the continuous graph, so as to realize the calibration of the camera module.
Specifically, the image center clear value can be obtained by an SFR test, and fitting to form an image can be performed by software such as Spotfire and tableau. It can be understood that, in the prior art, for example, camera modules with first relative distances of 20mm, 22mm, 24mm, 26mm, 28mm, 30mm and 32mm for the lens and the light sensing chip are manufactured, and the image center sharpness values thereof, such as 0, 0.22, 0.43, 0.5, 0.55, 0.42 and 0.12, are obtained through the SFR test, and it can be seen that when the first relative distance is 28mm, the image center sharpness value thereof is 0.55. In practice, however, it is only possible to find the optimum relative distance (second relative distance) between 26mm and 30mm, not necessarily 28 mm. The deviation that from this brings will influence the formation of image quality of the module of making a video recording to a certain extent, and the production requirement of the module of making a video recording of present is higher, even the influence that the deviation of small caused can not ignore. The invention fits the plurality of first relative distances and the plurality of image center sharpness values into a continuous graph, and not only the sampled first relative distances are on the continuous graph, but also the image center sharpness values corresponding to the numerical values between the first relative distances can be obtained, so as to obtain the actually optimal first relative distance (second relative distance).
A plurality of first relative distances and a plurality of corresponding image center clear values are fitted to form a continuous graph line, the continuous graph line has an infinite number of corresponding first relative distances and image center clear values, a corresponding second relative distance is obtained when the image center clear value is maximum, and when the relative distance between a lens and a photosensitive chip is the second relative distance, reflected light of a shot object can be focused on the photosensitive chip, so that better imaging quality is achieved.
In one embodiment, the first relative distance corresponds to at least one image center sharpness value. Specifically, the board of preparation camera module can make a plurality of camera modules simultaneously, nevertheless because there is the deviation in the board manufacturing, like the position tolerance of the fixed camera module's of centre gripping a plurality of anchor clamps, the plane degree of board working face etc. for even to the first relative distance of board input, but a plurality of camera module's first relative distance still can have certain difference, consequently need consider above-mentioned factor, the image center clear value of a plurality of camera modules that the first relative distance of input corresponds all needs to carry out the SFR test, consequently, same first relative distance generally corresponds a plurality of image center clear values. In addition, errors also exist in the SFR test, and the shape deviation of the continuous graph line fitted by the first relative distance and the image center clear value which correspond to each other one by one is large, which is not beneficial to obtaining an accurate second relative distance. By increasing the number of the image center clear values corresponding to the first relative distance, the deviation of fitting the continuous graph can be reduced, and the accurate second relative distance can be obtained.
In one embodiment, referring to fig. 1 and fig. 2, S104: fitting the plurality of first relative distances and the plurality of image center sharpness values to form a continuous graph, comprising:
s1041: establishing a rectangular coordinate system by taking the first relative distance as a horizontal axis and the image center definition value as a vertical axis;
s1042: integrating at least one image center clear value corresponding to the same first relative distance according to a preset rule to obtain a superposed image center clear value;
s1043: and fitting to form a parabola according to the first relative distances and the central definition values of the superposed images.
In a rectangular coordinate system, a transverse axis is set as a first relative distance, and a longitudinal axis is set as an image center clear value, so that the method is favorable for fitting a visual continuous graph and is convenient for acquiring a second relative distance; meanwhile, at least one image center clear value corresponding to the same first relative distance is integrated into a superposed image center clear value, so that the influence caused by errors of an SFR test is reduced, and a continuous graph can be conveniently fitted.
Specifically, the central clear value of the superimposed image may be obtained by averaging or median of at least one central clear value of the image or by operation such as trigonometric function. In addition, fitting of the graph may be performed in a two-dimensional coordinate system such as a polar coordinate system.
In one embodiment, referring to fig. 1, S105: obtaining a second relative distance corresponding to the maximum central definition value of the image according to the continuous graph, wherein the second relative distance comprises the following steps:
and acquiring a function expression of the parabola, and acquiring a second relative distance according to the function expression.
The second relative distance is obtained by obtaining the function expression of the parabola, which is beneficial to being realized by a software programming mode.
In one embodiment, obtaining a functional expression of a parabola and obtaining a second relative distance from the functional expression comprises:
the function expression is y ═ ax2+ bx + c, the second relative distance is-b/2 a; wherein y is the image center clear value, x is the first relative distance, and a, b, c are parameters.
Through the arrangement, the efficiency of calculating the second relative distance is higher, and the calibration process is favorably shortened.
In one embodiment, please refer to fig. 1 and fig. 3, S102: with the assembly that a plurality of camera lenses and a plurality of sensitization chip correspond respectively, form a plurality of modules of making a video recording, include:
s1021: gluing the lens and the photosensitive chip to obtain a camera module;
s1022: and baking the camera module so as to solidify the glue of the camera module.
It can be understood that, due to the existence of the characteristic of the rubber shrinkage in the process of manufacturing the camera module, the set first relative distance is different from the relative distance between the lens and the photosensitive chip after the camera module is actually assembled. To ensure that the optimum relative distance is obtained, an SFR test is required after the glue has cured. Through behind veneer camera lens and sensitization chip, toast the module of making a video recording for glue solidification is favorable to obtaining accurate image center clear value in the SFR test.
In one embodiment, the difference between two adjacent first relative distances on the horizontal axis of the rectangular coordinate system is in a range of 1 μm to 3 μm. Specifically, the difference may be 1 μm, 1.5 μm, 2 μm, 2.5 μm, 3 μm, or the like, preferably 2 μm. It can be understood that when the difference is too large, the number of samples is small but the fitting accuracy is low; when the difference is too small, the fitting precision is high but the number of samples is too large, which is not beneficial to shortening the sampling time. By setting the difference range of two adjacent first relative distances on the horizontal axis of the rectangular coordinate system between 1 μm and 3 μm, the reliability of fitting continuous graphs is ensured, the number of samples is reduced, and the sampling time is shortened.
The embodiment of the invention also provides a calibration device of the camera module. The calibration device is used for obtaining a second relative distance between the photosensitive chip and the lens of the camera module at a preset object distance, so that the camera module has better imaging quality. The calibration device comprises:
the first acquisition unit is used for setting the distances between the plurality of lenses and the corresponding plurality of photosensitive chips to be not all the same and acquiring the first relative distance between each photosensitive chip and the corresponding lens.
And the assembling unit is used for correspondingly assembling the plurality of lenses and the plurality of photosensitive chips respectively to form a plurality of camera modules.
And the second acquisition unit is used for acquiring the image center clear value of the shot object shot by each camera module.
And the processing unit is used for fitting the plurality of first relative distances and the plurality of image center clear values to form a continuous graph line.
And the analysis unit is used for obtaining a corresponding second relative distance when the central clear value of the image is the maximum value according to the continuous graph, so that the calibration of the camera module is realized.
The embodiment of the invention also provides a calibration device of the camera module. The calibration device can be a computer, a mobile phone, a camera module machine station with an operating system, and the like. The calibration device is used for obtaining a second relative distance between the photosensitive chip and the lens of the camera module at a preset object distance, so that the camera module has better imaging quality. The calibration device comprises: a processor and a memory; the processor is connected with the memory, wherein the memory is used for storing the computer program, and the processor is used for calling the computer program to execute the calibration method provided by the embodiment of the invention.
The embodiment of the invention also provides a computer storage medium. The computer storage medium stores a computer program comprising program instructions that, when executed by the processor, perform the calibration method provided by the embodiments of the present invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer-readable storage medium, and when executed, the processes of the embodiments of the methods described above can be included. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A calibration method of a camera module is characterized by comprising the following steps:
providing a plurality of lenses and a plurality of photosensitive chips, setting the distances between each lens and each corresponding photosensitive chip to be not all the same, and acquiring a first relative distance between each photosensitive chip and the corresponding lens;
correspondingly assembling the plurality of lenses and the plurality of photosensitive chips respectively to form a plurality of camera modules;
acquiring the image center clear value of a shot object shot by each camera module;
fitting a plurality of said first relative distances and a plurality of said image center sharpness values to form a continuous graph;
and obtaining a corresponding second relative distance when the central clear value of the image is the maximum value according to the continuous graph, so as to realize the calibration of the camera module.
2. A calibration method according to claim 1, wherein the first relative distance corresponds to at least one of the image center sharpness values.
3. The calibration method according to claim 2, wherein fitting a plurality of said first relative distances and a plurality of said image center sharpness values to form a continuous graph comprises:
establishing a rectangular coordinate system by taking the first relative distance as a horizontal axis and the image center definition value as a vertical axis;
integrating at least one image center clear value corresponding to the same first relative distance according to a preset rule to obtain a superposed image center clear value;
and fitting to form a parabola according to the first relative distances and the central definition values of the superposed images.
4. The calibration method according to claim 3, wherein obtaining the second relative distance corresponding to the maximum central sharpness value of the image from the continuous graph comprises:
and acquiring a function expression of the parabola, and acquiring the second relative distance according to the function expression.
5. The calibration method according to claim 4, wherein obtaining a functional expression of the parabola and obtaining the second relative distance according to the functional expression comprises:
the function expression is y-ax2+ bx + c, said second relative distance being-b/2 a;
wherein y is the image center clear value, x is the first relative distance, and a, b, and c are parameters.
6. The calibration method according to claim 1, wherein correspondingly assembling the plurality of lenses and the plurality of photosensitive chips to form a plurality of camera modules respectively comprises:
gluing the lens and the photosensitive chip to obtain the camera module;
and baking the camera module so as to solidify the glue of the camera module.
7. The calibration method according to claim 3, wherein the difference between two adjacent first relative distances on the horizontal axis of the rectangular coordinate system is in a range of 1 μm to 3 μm.
8. The utility model provides a calibration device of module of making a video recording which characterized in that includes:
the first acquisition unit is used for setting the distances between a plurality of lenses and a plurality of corresponding photosensitive chips to be not all the same and acquiring a first relative distance between each photosensitive chip and the corresponding lens;
the assembly unit is used for correspondingly assembling the plurality of lenses and the plurality of photosensitive chips respectively to form a plurality of camera modules;
the second acquisition unit is used for acquiring the image center clear value of the shot object shot by each camera module;
the processing unit is used for fitting the first relative distances and the image center clear values to form a continuous graph line;
and the analysis unit is used for obtaining a corresponding second relative distance when the central clear value of the image is the maximum value according to the continuous graph, so as to realize the calibration of the camera module.
9. The utility model provides a calibration device of module of making a video recording which characterized in that includes: a processor and a memory;
the processor is connected to a memory, wherein the memory is used for storing a computer program, and the processor is used for calling the computer program to execute the method according to any one of claims 1 to 7.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions which, when executed by a processor, perform the method of any of claims 1 to 7.
CN202010715694.2A 2020-07-23 2020-07-23 Camera module calibration method and device and computer storage medium Pending CN111899306A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113188772A (en) * 2021-05-06 2021-07-30 湖北三赢兴光电科技股份有限公司 Camera module AA process compression testing method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113188772A (en) * 2021-05-06 2021-07-30 湖北三赢兴光电科技股份有限公司 Camera module AA process compression testing method

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